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Journal article : Review

Strong gravitational lenses from the Vera C. Rubin Observatory

Abstract:
Like many areas of astrophysics and cosmology, the Vera C. Rubin Observatory will be transformational for almost all the applications of strong lensing, thanks to the dramatic increase in the number of known strong lenses by two orders of magnitude or more and the readily available time-domain data for the lenses with transient sources. In this article, we provide an overview of the forecasted number of discovered lenses of different types and describe the primary science cases these large lens samples will enable. We provide an updated forecast on the joint constraint for the dark energy equation-of-state parameters, w0 and wa, from combining all strong-lensing probes of dark energy. We update the previous forecast from the Rubin Observatory Dark Energy Science Collaboration’s Science Review Document by adding two new crucial strong-lensing samples: lensed type Ia supernovae and single-deflector lenses with measured stellar kinematics. Finally, we describe the current and near-future activities and collaborative efforts within the strong-lensing community in preparation for the arrival of the first real dataset from Rubin in 2026. This article is part of the Theo Murphy meeting issue ‘Multi-messenger gravitational lensing (Part 2)’.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2024.0117

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Author
ORCID:
0000-0002-5558-888X
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Author
ORCID:
0000-0003-4494-8277
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Role:
Author
ORCID:
0000-0003-3195-5507
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Institution:
University of Oxford
Role:
Author


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Funder identifier:
https://ror.org/03wnrjx87
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Funder identifier:
https://ror.org/0472cxd90
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Funder identifier:
https://ror.org/057g20z61
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Funder identifier:
https://ror.org/012mzw131


Publisher:
The Royal Society
Journal:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences More from this journal
Volume:
383
Issue:
2295
Article number:
20240117
Publication date:
2025-05-01
Acceptance date:
2025-02-16
DOI:
EISSN:
1471-2962
ISSN:
1364-503X


Language:
English
Keywords:
Subtype:
Review
Source identifiers:
2903866
Deposit date:
2025-05-01
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